I'm struggling with this for several days. I googled and did my best to solve this without for-loop but I couldn't.
First, I have a user-defined function. It has 4 inputs but 3rd and 4th inputs are fixed now. This is the function(I intentionally simplified it). But you may just skip this and just read the part below (Core).
if true
function [output_vec] = myfunc(v1, v2, a, b)
output_vec = zeros(2, 1);
elem1 = quantile(v1, a);
elem2 = quantile(v2, b);
output_vec(1) = sum(v2==elem1);
output_vec(2) = sum(v2==elem2);
end
where v1 and v2 are (n*1) vectors, a and b are scalars.
(Core)
There is an (n*p) matrix, M1, defined by
M1 = [v11, v12, v13, ..... , v1p];
I want to apply myfunc to M1, while fixing other inputs. Using for-loops, I may obtain
M2 = zeros(2, p)
for ii = 1:p
M2(:, ii) = myfunc(M1(:, ii), v2, 0.25, 0.75);
end
But I want to avoid for-loop(because p is very large), is there a way to I can get the M2 just like
M2 = myfunc(M1, v2, 0.25, 0.75)
p.s. - As I mentioned, I intentionally simplifed myfunc. So I think vectorizing myfunc by line-by-line is not possible in my case. I just wish to get a solution to vectorze(?) vector-input functions, which can be applied to general situations.
Thanks for reading this long question.
